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Toolbox for fast Total Variation proximity operators

Project description

proxTV is a toolbox implementing blazing fast implementations of Total Variation proximity operators. While the core algorithms are implemented in C to achieve high efficiency, Matlab and Python interfaces are provided for ease of use. The library provides efficient solvers for a variety of Total Variation proximity problems, with address input signals of any dimensionality (1d, images, video, …) and different norms to apply in the Total Variation term.

Project details


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Files for prox_tv, version 3.3.0
Filename, size File type Python version Upload date Hashes
Filename, size prox_tv-3.3.0-cp27-cp27m-macosx_10_6_x86_64.whl (95.7 kB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp27-cp27mu-manylinux1_x86_64.whl (2.5 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp34-cp34m-macosx_10_6_x86_64.whl (97.9 kB) File type Wheel Python version cp34 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp34-cp34m-manylinux1_x86_64.whl (2.5 MB) File type Wheel Python version cp34 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp35-cp35m-macosx_10_6_x86_64.whl (96.6 kB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp35-cp35m-manylinux1_x86_64.whl (2.5 MB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp36-cp36m-macosx_10_7_x86_64.whl (97.6 kB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp36-cp36m-manylinux1_x86_64.whl (2.5 MB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp37-cp37m-macosx_10_7_x86_64.whl (97.6 kB) File type Wheel Python version cp37 Upload date Hashes View hashes
Filename, size prox_tv-3.3.0-cp37-cp37m-manylinux1_x86_64.whl (2.5 MB) File type Wheel Python version cp37 Upload date Hashes View hashes

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